Karen Andrea Lara Hernandez

ORCID: 0000-0002-9787-637X
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About
Contact & Profiles
Research Areas
  • Cardiac Imaging and Diagnostics
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Diabetic Foot Ulcer Assessment and Management
  • Muscle activation and electromyography studies
  • Anomaly Detection Techniques and Applications
  • Sports injuries and prevention
  • AI in cancer detection
  • Cardiovascular Function and Risk Factors
  • Psychosomatic Disorders and Their Treatments
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Machine Learning in Healthcare
  • Heart Rate Variability and Autonomic Control
  • Medical Image Segmentation Techniques
  • Digital Imaging for Blood Diseases

Galileo University
2020-2022

Graz University of Technology
2020

Fraunhofer Institute for Biomedical Engineering
2018

Universidad Nacional de Colombia
2002

Specific phobias are among the most common anxiety disorders. Exposure therapy is treatment of choice for specific phobias. However, not all patients respond equally well to it. Hence, current research focuses on therapeutic add-ons increase and consolidate effects exposure therapy. One potential add-on biofeedback heart rate variability (HRV). A recent meta-analysis shows beneficial HRV interventions stress symptoms. Therefore, purpose trial evaluate biofeedback, which practiced before...

10.1186/s13063-018-2554-2 article EN cc-by Trials 2018-03-16

Registration of dynamic CT image sequences is a crucial preprocessing step for clinical evaluation multiple physiological determinants in the heart such as global and regional myocardial perfusion. In this work, we present deformable deep learning-based registration method quantitative perfusion examinations, which contrast to previous approaches, takes into account some unique challenges low quality with less accurate anatomical landmarks, changes agent concentration chambers tissue,...

10.1109/tmi.2022.3214380 article EN cc-by IEEE Transactions on Medical Imaging 2022-10-13

Biomechanical and clinical gait research observes muscles tendons in limbs to study their functions behaviour. Therefore, movements of distinct anatomical landmarks, such as muscle-tendon junctions, are frequently measured. We propose a reliable time efficient machine-learning approach track these junctions ultrasound videos support biomechanists analysis. In order facilitate this process, method based on deep-learning was introduced. gathered an extensive dataset, covering 3 functional...

10.1109/tbme.2021.3130548 article EN cc-by IEEE Transactions on Biomedical Engineering 2021-11-24

This paper presents two image techniques for morphometric evaluation. The first one improve the color contrast employing equalization and borders are identified by using splines. second is a semiautomatic method that use fuzzy thresholding. technique will provide basis of future automatic method. These experimentally validated measuring neoformed vessels on histological sections mice's thigh.

10.1117/12.452381 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2002-11-01
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